Understanding access and use of technology among youth with first‐episode psychosis to inform the development of technology‐enabled therapeutic interventions
Bibliographic record
Abstract
AIM: Computers, video games and technological devices are part of young people's everyday lives. However, their use in first-episode psychosis (FEP) treatment is rare. The purpose of this study was to better understand the access and use of technology among individuals with FEP, including gaming activities, to inform future development of technology-enabled therapeutic applications. METHODS: Self-administered survey on use of technological tools in 71 FEP individuals. RESULTS: PCs/laptops were used by all participants; cellphones/smartphones by 92%, consoles by 83% (mainly male and younger participants). Women texted and used social networks more frequently; men played games (mainly action) more often. The younger individuals reported playing games frequently (32% daily) with less use of the Web and social networks (favourite: Facebook). CONCLUSIONS: These data will be useful for developing Web-based psychoeducation tools and cognitive remediation video games for youth with FEP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".